An Analytical Model for Inference Attacks on the Incumbent's Frequency in Spectrum Sharing

Published

March 5, 2017

Author(s)

Azza Ben Mosbah, Timothy Hall, Michael R. Souryal, Hossam Afifi

Abstract

In spectrum sharing, incumbents with sensitive parameters require full protection of their operations. The incumbent's protection includes the protection of its privacy (e.g., operational frequency) against inference attacks carried out by malicious authorized secondary users. In this paper, we develop an analytical model to analyze the vulnerability of the incumbent's frequency to inference attacks and validate it by simulation. Specifically, we study random and ordered channel assignment schemes and compare results for both schemes.

Proceedings Title

IEEE Dynamic Spectrum Access Networks (DySPAN) Conference

Conference Dates

March 6-9, 2017

Conference Location

Piscataway, NJ, US

Pub Type

Conferences

Download Paper

https://doi.org/10.1109/DySPAN.2017.7920770

Local Download

Keywords

3.5 GHz band, analytical evaluation, incumbent vulnerability, inference attack, privacy, spectrum sharing

Citation

Ben Mosbah, A. , Hall, T. , Souryal, M. and Afifi, H. (2017), An Analytical Model for Inference Attacks on the Incumbent's Frequency in Spectrum Sharing, IEEE Dynamic Spectrum Access Networks (DySPAN) Conference, Piscataway, NJ, US, [online], https://doi.org/10.1109/DySPAN.2017.7920770, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=922777 (Accessed October 8, 2025)